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Co-Authors
- J. Mohanraj
- J. A. Johnson
- Lidwin Johnson
- Uma Pandi
- T. Shunmugaraj
- Shirish D. Narnaware
- Kashi Nath
- Rajesh K. Sawal
- N. V. Patil
- Asha Gaikwad
- L. D. Arya
- Shashi Bhushan Kumar
- Madhukar Kumar
- Ashok Kumar
- Brajendra
- B. K. Jha
- A. K. Dwivedi
- Maya Kumari
- Himanshu Singh
- Pradeep Prasad
- Amita Ranjan
- V. K. Dumka
- S. K. Jha
- R. K. Sawal
- Kashinath
- Radha Krishan Verma
- Rajneesh Kumar
- Mohit Rastogi
- Chandra Shekhar Singh
- Tanmoy Pramanik
- Bhuvnesh Kumar Gupta
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Ranjan, Rakesh
- Coral Reef Associated Gastropods in Tuticorin Coast of Gulf of Mannar Biosphere Reserve, India
Abstract Views :563 |
PDF Views:148
Authors
Affiliations
1 Department of advanced Zoology and Biotechnology, Kamaraj College, Tuticorin - 628003, IN
2 Wildlife Institute of India, P.Box No. 18, Chandrabani, Dehradun – 248001, Uttarkhand, IN
3 Center for Marine Living Resources and Ecology, Ministry of Earth science, Cochin, IN
1 Department of advanced Zoology and Biotechnology, Kamaraj College, Tuticorin - 628003, IN
2 Wildlife Institute of India, P.Box No. 18, Chandrabani, Dehradun – 248001, Uttarkhand, IN
3 Center for Marine Living Resources and Ecology, Ministry of Earth science, Cochin, IN
Source
Indian Journal of Science and Technology, Vol 3, No 2 (2010), Pagination: 204-206Abstract
Coral reef associated gastropods diversity study was undertaken in Tuticorin group of islands (Hare, Vaan and Koswari). Underwater survey was made in three quadrants (10 sq.m) in each site. A sum of 40 species of gastropods were recorded from the study area. Most of the species are commonly found in three islands. Twelve were rare viz., Ficus ficus, Colubraria muricata, Casmaria erinaceus, Natica didyma, Nerita polita, Rapana bulbosa, Purpura rudolphi, Strombus sp., Architectonica perspectiva, Cypraea tigris, Cymatium lotorium and Haustellum haustellum were reported form the study area. Species diversity and richness were found to be higher in the Vaan island.Keywords
Mannar Biosphere Reserve, India, Biodiversity, Fauna, Conservation, Tamil Nadu, Coral Reef, GastropodsReferences
- Ajmal-Khan S (2005) Statistical methodology for biodiversity assessment of coral. In: Proc. National Seminar on Reef Ecosystem Remediation. Eds. Samuel VD, Chacko D & Patterson JKE, SDMRI Res.Publ., No- 9, pp: 1-9.
- Kannaiyan S and Venketraman K (2008) Biodiversity conservation in Gulf of Mannar Biosphere Reserve, National Biodiversity Authority Publ., Chennai. pp: 484.
- Melkani VK, Edward JKP, Murugan A and Naganathan A (2009) Capacity building in identification of Marine Scheduled Animals: Training cum information manual. Gulf of Mannar Biosphere Reserve Trust Publi. No. 8, pp: 82.
- Melvill JC and Stander R (1878) the marine molluscs of Madras and the immediate neighbourhood. J. Conch London, 9, 30-48.
- Patterson JKE, Patterson J, Venketesh V, Mathews G, Challam C and Wilnelmisson D (2004) A field guide to stony coral (scleractinia) of Tuticorin in Gulf of Mannar, Southeast coast of India. SDMRI, Special Publ., No- 4, pp: 192.
- Ramesh DS, Jeyabaskaran R and Pandian ALP (1996) Gastropods and bivalves associated with reef building corals, Palk Bay, Southeast coast of India. A Phuket Marine Biological Center Special Publi., No.16, pp: 257- 260.
- Samuel VD, Chacko D and Patterson JKE (eds) (2005) Preliminary study on the molluscan diversity of “the lost world”- Dhanushkodi, East coast of India. In: Proc. National Seminar on Reef Ecosystem Remediation. SDMRI Res. Publi., No.9, pp: 54-58.
- Subba Rao NV (2003) Indian seashells (part I): Polyplacoptera and Gastropoda. Zoological Survey of India. pp: 426.
- Double-Humped Camels of Ladakh:Prospects and Constraints to Sustained Survival
Abstract Views :239 |
PDF Views:83
Authors
Affiliations
1 National Research Centre on Camel, Jorbeer, Bikaner 334 001, IN
1 National Research Centre on Camel, Jorbeer, Bikaner 334 001, IN
Source
Current Science, Vol 109, No 5 (2015), Pagination: 857-858Abstract
No Abstract.- New Computational Algorithm for Reconfiguration of Radial Distribution Systems
Abstract Views :161 |
PDF Views:4
Authors
Affiliations
1 MAE, Pune, IN
2 IITB, Sonipat, IN
3 SGSITS, Indore, IN
1 MAE, Pune, IN
2 IITB, Sonipat, IN
3 SGSITS, Indore, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 1, No 8 (2009), Pagination: 289-300Abstract
Optimal reconfiguration of Radial Distribution System (RDS) is performed under the umbrella of Supervisory Control and Data Acquisition (SCADA) systems to achieve the best voltage and improved current profile with minimal kW losses. Significant amount of energy can be saved by reconfiguration of Radial Distribution Systems (RDS) without compromising radial nature of the system. However, due to inherent difficulty associated with RDS, it is often not possible to obtain an optimal solution using mathematical programming techniques. In this paper, an improved load flow algorithm with better computational efficiency is proposed for RDS solution. Another Computational algorithm is proposed to obtain optimally reconfigured RDS with improved voltage profile, minimal branch currents and minimal kW losses. The results obtained are compared with the other published papers to confirm the effectiveness of the proposed algorithm.Keywords
Radial Distribution System (RDS), Voltage Deviation Index (VDI), Load Flow Program (LFP).- Evaluating Fertilizer Applications on Spectral Behaviour of Rice Crop Using Remote Sensing Technique
Abstract Views :208 |
PDF Views:0
Authors
Shashi Bhushan Kumar
1,
Madhukar Kumar
2,
Ashok Kumar
3,
Brajendra
4,
B. K. Jha
4,
A. K. Dwivedi
3,
Rakesh Ranjan
3,
Maya Kumari
3,
Himanshu Singh
3,
Pradeep Prasad
3
Affiliations
1 Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), IN
2 Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), IN
3 Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), IN
4 ICAR Indian Institute of Rice Research, Hyderabad (Telangana), IN
1 Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), IN
2 Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), IN
3 Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), IN
4 ICAR Indian Institute of Rice Research, Hyderabad (Telangana), IN
Source
An Asian Journal of Soil Science, Vol 11, No 1 (2016), Pagination: 126-131Abstract
Present experiments were conducted at the research farm of Indian Agricultural Research Institute, New Delhi during Kharif 1999 and Kharif 2001 to study the influence of nitrogenous fertilizer on the tilth of rice crop by remote sensing technique. Spectral radiance observations of the crop canopy were collected with the Portable Spectroradiometer which scanned from 330 nm to 1100 nm of electromagnetic spectrum range at 5nm interval (band-width). Normalized difference vegetation index was calculated for the both tillage practices, puddle and unpuddled situation at different growth stages for different fertilizer treatment. Fertilized plots were observed to have a higher value of BR than controlled ones throughout the crop growth period, both in puddled and unpuddled treatments. The higher values of band ratio were observed in puddled rice compared to the unpuddled rice irrespective of growth stages and fertilizer application levels. Statistical correlations were developed between NDVI (Normalized difference vegetation index) and RVI (Ratio vegetation index) with LAI (Leaf area index), DM (Dry matter) production and total leaf chlorophyll content. Second order polynomial equations were developed to correlate remotely sensed data with crop biometrics. Polynomial second order equations of 'band ratio' were found to be better fitted than NDVI with crop biometrics.Keywords
NDVI, Puddle, Unpuddled, Rice, Fertilizer.References
- Allen, W.A. and Richardson, A.J. (1986). Interaction of light with a plant canopy. J. Optical Soc. America, 58: 1023-1028.
- Aparicio, N., Villegas, D., Casadesus, J., Araus, J.L. and Royo, C. (2000). Spectral vegetation indices as nondestructive tool for determining durum wheat yield. Agron. J., 92 (1): 83-91.
- Bajpai, R.K. and Tripathi, R.P. (2000). Evaluation of nonpuddling under shadow water tables and alternative tillage methods as soil and crop parameters in a rice-wheat system in Uttar Pradesh. Soil Tillage Res., 55 (1-2): 99-101.
- Birth, G.S. and McVey, G.R. (1968). Measuring the colour of turf with a spectrophotometer. Agron, J., 60: 640-643.
- Field, C.B., Gamon, J.A. and Pnuelas, J. (1993). Remote sensing of terrestrial photosynthesis. In: Ecophysiology of photosynthesis (Eds ED Schulze and MM Caldwell), Ecological Studies, 100.
- Gilabert, M.A., Gandia, S. and Melia, J. (1996). Analysis of spectral biophysical relationships for a corn canopy. Remote Sens. Environ., 55: 11-20.
- Gopal, M., Devi, K.R. and Lingam, B. (1999).Effect of seeding density, level and time of N applicationin direct sown rice under puddle contions. J. Res. ANGRAU, 27 (1-2): 53-55.
- Goward, S.N., Tucker, C.J. and Dye, D.G. (1985). North American vegetation patterns observed with NOAA-7 advanced very highresolution radiometer. Vegetatio, 64:3-14.
- Hiscox, J.D. and Israelstam, G.F. (1979). Amethod for the extraction of chlorophyll from leaf tissue without maceration Can. J. Bot., 57: 1332-1334.
- Jago, R.A. and Curran, P.J. (1995). The effect of land contamination on the relationship between the red edge and chlorophyll concentration of a grass and canopy. In RSS95: Remote Sensing in Action, Nottingham: Remote Sensing Society, 442-449pp.
- Jain, V., Pal, M., Lakkineni, K.C. and Abrol, Y.P. (1999). Photosynthetic characteristics in two wheat genotypes as affected by nitrogen nutrition. Biologia. Plantarum, 42 (2): 217-222.
- Jamil, M., Shah, I.A., Mehdi, S.M. and Ismat, N. (1992). Effect of land preparation methods and fertilizer application on fertilizer use efficiency in rice KS 282. J Agric. Res. (Pak), 30 (4): 469-477.
- Lin, X.Z., Huang, Q.M. and Tu, Z.P. (1990). Studies on high yield cultivation of rice in Guangdong by controlling chlorophyll content and leaf area index. Jiangsu. J. Agric. Sci., 6: 20-26.
- Pandey, P.K., Pandey, M.D., Singh, Raghvendra and Singh, R. (2000). Response of medium land rice to sowing methods, moisture regimes and nitrogen levels. Crop Res., 1 (2):249-252.
- Rao, M.V. (1982).Wheat production problems in India. Proc. National seminar on productivity in wheat and wheat products, held in Vigyan Bhawan, New Delhi, April 29-30, pp. 5-9.
- Rouse, J.W., Haas, R.H., Schell, J.A. and Deering, D.W. (1973). Monitoring vegetation systems in the great plains with ETRS. In : Third ETRS Symp NASA Sp, 357(1) : 309-317.
- Sader, R., Pedroso, P.A.C., Epifania, L.C., Gavioli, E.A. and Mattos Junior, D. (1990). Effects of nitrogen fertilizer on chlorophyll contents, yield and seed quality of rice. Cientifica Jaboticabal, 18 (2):63-69.
- SAS (1998). Statistical analysis system/OR User’s guide SAS Institute, NORTH CAROLINA, USA.
- Sellers, P.J. (1987). Canopy reflectance, photosynthesis and transpiration. II The role of biophysics in the linearity of their interdependence. Remote Sens. Environ., 6 : 143-183.
- Srivastava, S.K., Nageswara, Rao, P.P. and Jayaraman, V. (1998). Towards space borne terrestrial imaging spectrometry. Scientific Report ISRO-NNRMS-SR: 41-98.
- Stutterheim, N.C. and Barbier, J.M. (1995).Growth and yield formation of irrigated, direct seeded rice as affected by nitrogen fertilizer. European J. Agron., 4 (3): 299-308.
- Wang, K., Shen Zhang Quan, Wang, K., Shen, Z.Q. and Wang, R.C. (1998).Effect of nitrogen nutrition on the spectral characteristics of rice leaf and canopy. Zhejiang Agric. Univ., 24 (1) : 93-97.
- Analysis of Abiotic Parameters of River Sikrahana, Near Motihari, Bihar, India
Abstract Views :286 |
PDF Views:1
Authors
Affiliations
1 P.G. Department of Chemistry, M.S. College, Motihari (Bihar), IN
1 P.G. Department of Chemistry, M.S. College, Motihari (Bihar), IN
Source
The Asian Journal of Experimental Chemistry, Vol 6, No 2 (2011), Pagination: 93-95Abstract
The present study concerns with the abiotic parameters of sikrahana river water, located near motihari, the district head quarter of east champaran. The exact location of the spot is 84°43'48"E and 26°46'48"N. This analysis was carried out from January 2010 to December 2010. The abiotic parameters such as water temperature, turbidity, hardness, pH, alkalinity free CO2, DO, BOD, COD, CHLORIDE, PHOSPHATE, SULPHATE etc. were analyzed during the present investigation. The data obtained from the analysis were compared with the data recommended for water quality standard by WHO and BIS.Keywords
Sikrahana, Abiotic, Parameter, Champaran.- Chronic Flubendiamide Exposure Induces Oxidative Stress in Water Buffalo (Bubalus bubalis) Calves
Abstract Views :505 |
PDF Views:94
Authors
Affiliations
1 Department of Veterinary Pharmacology and Toxicology, Rajasthan University of Veterinary and Animal Sciences, Bikaner 334 001, IN
2 Department of Veterinary Pharmacology and Toxicology, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana 141 004, IN
3 National Research Centre on Camel, Bikaner 334 022, IN
1 Department of Veterinary Pharmacology and Toxicology, Rajasthan University of Veterinary and Animal Sciences, Bikaner 334 001, IN
2 Department of Veterinary Pharmacology and Toxicology, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana 141 004, IN
3 National Research Centre on Camel, Bikaner 334 022, IN
Source
Current Science, Vol 114, No 08 (2018), Pagination: 1610-1612Abstract
Flubendiamide is a recently introduced, fast-acting insecticide with an excellent residual effect. In an unpublished study, it was reported not to cause any genotoxic, carcinogenic and neurotoxic effects in mammals. However, recent studies suggest that it is toxic for fish and Chinese tiger frog. Alterations in leukogram, erythrocytic indices and aspartic acid concentration in cerebrospinal fluid in water buffalo following its chronic exposure to flubendiamide have also been recorded in our laboratory.References
- Tohnishi, M. et al., J. Pesticide Sci., 2005, 30, 354–360.
- Nirmalakallagadda and Rathnamma, V., Int. J. Rec. Sci. Res., 2014, 5, 1554–1557.
- Wei, L., Shao, W. W., Ding, G. H., Fan, X. L., Yu, M. L. and Lin, Z. H., Dongwuxue Yanjiu (Zoo Res.), 2014, 35, 272–279.
- Ranjan, A., Dumka, V. K. and Ranjan, R., Indian J. Vet. Med., 2016, 36, 103–106.
- Ranjan, A., Dumka, V. K. and Singh, N. D., Bull. Environ. Contam. Toxicol., 2014, 92, 410–414.
- Ranjan, A., Dumka, V. K., Ranjan, R. and Randhawa, C. S., Toxicol. Int., 2016, 23, 27–32.
- Jadav, S. S. and Dravid, M., Int. J. Res. Pure Appl. Microbiol., 2016, 6, 13–20.
- Cui, F., Chai, T., Qian, Le. and Wang, C., Chemosphere, 2017, 169, 107–116.
- Kaur, R. and Dar, S. A., Food Chem. Toxicol., 2013, 61, 121–126.
- Selvaraju, S., Nandi, S., Gupta, P. S. and Ravindra, J. P., Reprod. Domest. Anim., 2011, 46, 807–813.
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- Mandil, R., Rahal, A., Prakash, A., Garg, S. K., Gangwar, N. K. and Swain, D. K., Chem.-Biol. Interact., 2016, 260, 91–101.
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- Ahmed, W. M., Abd El-Hameed, A. R. and El-Moghazy, F. M., Int. J. Dairy Sci., 2008, 3, 63–70.
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- Brioukhanov, A. L., Netrusov, A. I. and Eggen, R. I., Microbiology, 2006, 152, 1671–1677.
- Nareshkumar, B., Akbar, S. M., Sharma, H. C., Jayalakshmi, S. K. and Sreeramulu, K., Arch. Insect Biochem. Physiol., 2017, 96; doi:10.1002/arch.21401.
- Application of Agricultural Information Accessed Through Mobile
Abstract Views :238 |
PDF Views:0
Authors
Affiliations
1 Department of Agricultural Extension and Communication, Birsa Agricultural University, Ranchi (Jharkhand), IN
2 Krishi Vigyan Kendra (BAU), Garhwa (Jharkhand), IN
1 Department of Agricultural Extension and Communication, Birsa Agricultural University, Ranchi (Jharkhand), IN
2 Krishi Vigyan Kendra (BAU), Garhwa (Jharkhand), IN
Source
Agriculture Update, Vol 13, No 4 (2018), Pagination: 418-421Abstract
Mobile has emerged as the technology whose spread has surpassed all predictions and records. After its successful use in trade, commerce and banking, it is applied in governance and agricultural extension. A number of initiatives like Kisan Call Centre (Toll free number-18001801551), Mobile portal (http://www.mkisan.gov.in), Voice SMS (http://www.iksl.net) has been taken to provide mobile-based services to the farmers. All these initiatives aim at empowering the farmers through agricultural information which the farmers are expected to apply for increasing productivity and profitability. A study was conducted in Jharkhand state of India to ascertain the application of agricultural information accessed through mobile. Data were collected from the purposively selected districts, one each from three agro- climatic zones of Jharkhand on the criteria of mobile user base. The findings revealed satisfactory level of information application. The selected independent variables viz., family education, social participation, extension contact, mass media and IT exposure, attitude towards mobile, annual agricultural income, information needs, knowledge about mobile feature, level of aspiration about mobile and monthly expenditure on mobile service were found positively and significantly correlated with information application at 1 per cent level of probability. Age was found negatively and significantly correlated at 1 per cent level of probability. However, innovation proneness was found positively and significantly correlated at 5 per cent level of probability. The selected independent variables could explain the variability upto 41.6 per cent whereas the variable information needs alone contributed upto 34.6 per cent. Hence, intervention like awareness programme should be undertaken so that felt needs could be expressed and unfelt needs could be converted into felt needs. Extension organizations need to provide more specific and personalized advice.Keywords
Mobile, Agricultural Information, Information Needs, Information Access, Information Application.References
- Bayes, A., von Braun, J. and Akhter, R. (1999). “Village Pay Phones and Poverty Reduction:Insights from a Grameen Bank Initiative in Bangladesh, Center for Development Research (AEF),Universitat Bonn, Discussion papers on development policy no. 8. Available online at: http://www.zef.de/publications.htm. Accessed August 27, 2010.
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- Somasundaram, D. (1976). A diagnostic study of small farmers with respect to new Agricultural technology and its effective communication for adoption. Ph.D. Thesis, Division of Agricultural Extension, IARI, New Delhi. Technology to Improve the Productivity of Crops. J. Extn. Syst., 23(1):70-80.
- http://www.mkisan.gov.in
- http://www.iksl.net
- http://www.iikt.ac.in
- Grassland Productivity During Early Winter in Ladakh, India
Abstract Views :146 |
PDF Views:95
Authors
Affiliations
1 ICAR-National Research Centre on Camel, Bikaner 334 001, IN
1 ICAR-National Research Centre on Camel, Bikaner 334 001, IN
Source
Current Science, Vol 119, No 7 (2020), Pagination: 1195-1197Abstract
Agro-pastoralism is the backbone for the sustenance of livelihood of people in semi-arid mountainous deserts of Ladakh, India. Livestock comprising sheep, goat, yak, donkey and horse, play an important role in human survival by providing fuel, transport, wool, milk, organic manure, meat and hide. Deficiency of fodder is the major constraint in livestock production system in this area; hence grassland vegetation availablefor grazing is important for livestock feeding and nutrition. The present study was aimed to evaluate grassland productivity in different villages of Leh, Ladakh. Productivity of grasslands in the study area ranged from 0.7 to 8.8 q/ha, reflecting low values and wide variability. Nutrient availability in grasses was poor, while fibre content was high. Supplementation of feed, fodder or concentrate ration is therefore essential to meet the nutritional requirements of the livestock largely dependent upon grazing in those grasslands.Keywords
Agro-Pastoralism, Early Winter, Grassland Productivity, Livestock, Nutrient Availability.References
- Tewari, J. C., Pareek, K., Raghuvanshi, M. S., Kumar, P. and Roy, M. M., Fodder production system a major challenge in cold arid region of Ladakh, India. MOJ Econ. Environ. Sci., 2016, 1, 22–28.
- Rawat, G. S. and Adhikari, B. S., Floristics and distribution of plant communities across moisture and topographic gradients in Tso Kar Basin, Chanthang Plateau, Eastern Ladakh. Artic. Antarc. Alp. Res., 2005, 37, 539–544.
- AOAC, Official Methods of Analysis, Association of Official Analytical Chemists, Arlington, VA, USA, 1995, 16th edn.
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- Misra, C., High altitude survival: conflicts between pastoralism and wildlife in Trans Himalaya. Doctoral thesis, Wageningen University, The Netherlands, 2001.
- Sawal, R. K. and Sharma, K. C., Biomass evaluation of pasture in hot arid Rajasthan. Indian J. Small Rumin., 2013, 19, 56–60.
- Dvorsky, M., J. Dolezal, J., Bello, F. De., Klimesova, J. and Klimes, L., Vegetation types of East Ladakh: species and growth form composition along main environmental gradients. Appl. Veg. Sci., 2010, 1, 1–17.
- A Comprehensive Assessment of Applications of Drone Technology in the Coal Mining Industry
Abstract Views :89 |
PDF Views:0
Authors
Rajneesh Kumar
1,
Mohit Rastogi
2,
Chandra Shekhar Singh
3,
Rakesh Ranjan
4,
Tanmoy Pramanik
5,
Bhuvnesh Kumar Gupta
5
Affiliations
1 GM (Geomatics), Central Mine Planning and Design Institute Limited (CMPDI), Ranchi., IN
2 GM (Civil), Geomatics Division, CMPDI, Ranchi., IN
3 Chief Manager (Mining), CIL, Kolkata ., IN
4 Chief Manager (Geomatics), CMPDI, Ranchi, IN
5 Deputy Manager (Geomatics), CMPDI, Ranchi., IN
1 GM (Geomatics), Central Mine Planning and Design Institute Limited (CMPDI), Ranchi., IN
2 GM (Civil), Geomatics Division, CMPDI, Ranchi., IN
3 Chief Manager (Mining), CIL, Kolkata ., IN
4 Chief Manager (Geomatics), CMPDI, Ranchi, IN
5 Deputy Manager (Geomatics), CMPDI, Ranchi., IN
Source
Journal of Mines, Metals and Fuels, Vol 71, No 3 (2023), Pagination: 304 - 310Abstract
An effort has been made to deliver a complete assessment of the present advancement of the drone technology adopted by Coal India Limited (CIL) through CMPDI and its application in the coal mining industry. Nowadays, drone operations are gaining more and more attentions to ease out routine jobs in the mining industry and unveiling new arenas of opportunity. To name a few, 3D mapping of the mine environment by generating ortho-photo mosaic, blasting monitoring as well as postblast rock fragmentation measurements, inventory monitoring, survey of colonies and residential areas, monitoring of vegetation, settlement etc. been the new areas of interest. This paper offers an assessment of types of drone, their specifications, and specific applications of drones along with various sensors for mining applications. Possibilities of implementation of drone technology in underground mining conditions are also discussed.Keywords
Advancement, of drone technology, Applications & operations, monitoring, VTOL, UAV ortho-mosaicReferences
- Hassanalian, M.; Abdelkefi, A. (2017): Classifications, applications, and design challenges of drones: A review. Prog. Aerosp. Sci. 2017, 91.
- Hassanalian, M.; Khaki, H.; Khosravi, M. (2015): A new method for design of fixed wing micro air vehicle.
- Proc. Inst. Mech. Eng. Part G J. Aerosp. Eng.229, 837–850.
- Green, J. (2013): Mine rescue robots requirements: Outcomes from an industry workshop. In Proceedings of the 2013 6th Robotics and Mechatronics Conference (RobMech), Durban, South Africa, 30–31 October; IEEE Computer Society: Washington, DC, USA, 2013; pp. 111–116.
- McLeod, T.; Samson, C.; Labrie, M.; Shehata, K.; Mah, J.; Lai, P.; Wang, L.; Elder, J.H. (2013): Using video acquired from an unmanned aerial vehicle (UAV) to measure fracture orientation in an open-PIT mine.Geomatica, 67, 173–180.
- Lee, S.; Choi, Y. (2016): Reviews of unmanned aerial vehicle (drone) technology trends and its applications in the mining industry. Geosyst. Eng. 19, 197–204.
- Xiang, T.Z.; Xia, G.S.; Zhang, L. (2018): Mini-UAVbased Remote Sensing: Techniques, Applications and Prospectives. arXiv, arXiv:1812.07770v1.
- Valavanis, K.P.; Vachtsevanos, G.J. (2015): (Eds.) Handbook of Unmanned Aerial Vehicles; Springer: Dordrecht, the Netherlands; ISBN 978-90-481-9706-4.
- Mirzaeinia, A.; Shahmoradi, J.; Roghanchi, P.; Hassanalian, M. (2019): Autonomous routing and
- power managementof drones in gps-denied environments through dijkstra algorithm. In
- Proceedings of the AIAA Propulsion and Energy Forum and Exposition, Indianapolis, IN, USA, 19–22
- August 2019; American Institute of Aeronautics and Astronautics Inc. (AIAA): Reston, VA, USA.